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Lookup NU author(s): Dr Ivan CK TamORCiD, Dr Arun DevORCiD, Dr Bin LiuORCiD
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In this article, the least-squares support vector machine (LS-SVM) with linear system of equations is used to identify the hydrodynamic derivatives of a three degree-of-freedom (3-Dofs) maneuvering model for an ESSO 190000 dwt tanker. Instead of identifying the hydrodynamic derivative independently, the highly-correlated hydrodynamic derivatives are identified together by LS-SVM and subsequently distinguished in sets of linear system of equations. The issue of parameter drift is briefly discussed and diminished with the proposed approach. The training data are sampled from the simulated zigzag maneuver. The computational procedures and set up of the support vector machine are discussed in detail. A number of predicted maneuvers are compared with the reference maneuvers. Excellent accuracy and generality of the estimated maneuvering model are achieved based on the proposed system identification technique.
Author(s): Chua MH, Tam I, Dev AK, Liu B
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 43rd International Conference on Ocean, Offshore & Arctic Engineering
Year of Conference: 2024
Online publication date: 09/08/2024
Acceptance date: 07/02/2024
Publisher: American Society of Mechanical Engineers
URL: https://doi.org/10.1115/OMAE2024-120821
DOI: 10.1115/OMAE2024-120821
Notes: Paper No: OMAE2024-120821, V05BT06A020
Library holdings: Search Newcastle University Library for this item
Series Title: OMAE
ISBN: 9780791887837